Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

Detalhes bibliográficos
Autor(a) principal: Oliveira, André
Data de Publicação: 2015
Outros Autores: Cabral, António J R, Mendes, Jorge M., Martins, MR, Cabral, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.4081/gh.2015.365
Resumo: WOS:000372006400010
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spelling Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years oldGeographically weighted regressionMulti-temporal analysisStrokeWorking-age populationPortugalEpidemiologySDG 3 - Good Health and Well-beingWOS:000372006400010Stroke risk has been shown to display varying patterns of geographic distribution amongst countries but also between regions of the same country. Traditionally a disease of older persons, a global 25% increase in incidence instead was noticed between 1990 and 2010 in persons aged 20-≤64 years, particularly in low- and medium-income countries. Understanding spatial disparities in the association between socioeconomic factors and stroke is critical to target public health initiatives aiming to mitigate or prevent this disease, including in younger persons. We aimed to identify socioeconomic determinants of geographic disparities of stroke risk in people <65 years old, in municipalities of mainland Portugal, and the spatiotemporal variation of the association between these determinants and stroke risk during two study periods (1992-1996 and 2002-2006). Poisson and negative binomial global regression models were used to explore determinants of disease risk. Geographically weighted regression (GWR) represents a distinctive approach, allowing estimation of local regression coefficients. Models for both study periods were identified. Significant variables included education attainment, work hours per week and unemployment. Local Poisson GWR models achieved the best fit and evidenced spatially varying regression coefficients. Spatiotemporal inequalities were observed in significant variables, with dissimilarities between men and women. This study contributes to a better understanding of the relationship between stroke and socioeconomic factors in the population <65 years of age, one age group seldom analysed separately. It can thus help to improve the targeting of public health initiatives, even more in a context of economic crisis.Instituto de Higiene e Medicina Tropical (IHMT)Global Health and Tropical Medicine (GHTM)NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolPopulation health, policies and services (PPS)RUNOliveira, AndréCabral, António J RMendes, Jorge M.Martins, MRCabral, Pedro2018-05-14T22:02:13Z2015-11-042015-11-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttps://doi.org/10.4081/gh.2015.365eng1827-1987PURE: 1729974http://www.scopus.com/inward/record.url?scp=84946564695&partnerID=8YFLogxKhttps://doi.org/10.4081/gh.2015.365info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:20:30Zoai:run.unl.pt:10362/36941Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:42.976337Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
title Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
spellingShingle Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
Oliveira, André
Geographically weighted regression
Multi-temporal analysis
Stroke
Working-age population
Portugal
Epidemiology
SDG 3 - Good Health and Well-being
title_short Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
title_full Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
title_fullStr Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
title_full_unstemmed Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
title_sort Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
author Oliveira, André
author_facet Oliveira, André
Cabral, António J R
Mendes, Jorge M.
Martins, MR
Cabral, Pedro
author_role author
author2 Cabral, António J R
Mendes, Jorge M.
Martins, MR
Cabral, Pedro
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Instituto de Higiene e Medicina Tropical (IHMT)
Global Health and Tropical Medicine (GHTM)
NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
Population health, policies and services (PPS)
RUN
dc.contributor.author.fl_str_mv Oliveira, André
Cabral, António J R
Mendes, Jorge M.
Martins, MR
Cabral, Pedro
dc.subject.por.fl_str_mv Geographically weighted regression
Multi-temporal analysis
Stroke
Working-age population
Portugal
Epidemiology
SDG 3 - Good Health and Well-being
topic Geographically weighted regression
Multi-temporal analysis
Stroke
Working-age population
Portugal
Epidemiology
SDG 3 - Good Health and Well-being
description WOS:000372006400010
publishDate 2015
dc.date.none.fl_str_mv 2015-11-04
2015-11-04T00:00:00Z
2018-05-14T22:02:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.4081/gh.2015.365
url https://doi.org/10.4081/gh.2015.365
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1827-1987
PURE: 1729974
http://www.scopus.com/inward/record.url?scp=84946564695&partnerID=8YFLogxK
https://doi.org/10.4081/gh.2015.365
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 14
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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